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基于网络药理学和分子对接的中华猕猴桃根治疗乳腺癌的机制

Mechanisms of Actinidia chinensis Planch roots in the treatment of breast cancer based on network pharmacology and molecular docking.

作者信息

Tong Jing, Ding Yi, Zhang Dongping

机构信息

Department of Pharmacy, Shengzhou People's Hospital (Shengzhou Branch of the First Affiliated Hospital of Zhejiang University School of Medicine, The Shengzhou Hospital of Shaoxing University), Shengzhou, China.

出版信息

Medicine (Baltimore). 2025 Aug 1;104(31):e43560. doi: 10.1097/MD.0000000000043560.

Abstract

This study explores the mechanisms by which the root of Actinidia chinensis Planch (ACP) may exert therapeutic effects on breast cancer (BC), using network pharmacology and molecular docking techniques. Active compounds in ACP root were screened using the Traditional Chinese Medicine Systematic Pharmacology database (oral bioavailability ≥ 30%, drug-likeness ≥ 0.18%), and potential targets were predicted via the PharmMapper database (normalized fit score ≥ 0.6). BC-related targets were retrieved from GeneCards, DisGeNet, OMIM, DrugBank, and TTD databases. Common targets were identified using Venny 2.1 and imported into STRING 11.0 to construct a protein-protein interaction network with a confidence score ≥ 0.4. Visualization and topological analysis were conducted using Cytoscape 3.9.1. Core compounds were identified based on degree, betweenness centrality, and closeness centrality, while core targets were determined using the maximum clique centrality method. Gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses were performed via the Metascape platform. Molecular docking validation was carried out using AutoDock Tools 1.5.7 and AutoDock Vina 1.1.2, with docking results visualized using PyMOL. A total of 14 active compounds and 184 potential targets were identified from ACP root, along with 9418 potential BC-related targets. Among them, 158 overlapping targets were identified. Ten key targets and 8 key compounds were ultimately selected. Molecular docking results revealed that the binding energies between key compounds and targets ranged from -5.8 to -9.9 kcal/mol, with the strongest interaction- observed between maslinic acid and GSK3-B (-9.9 kcal/mol). Gene ontology enrichment analysis indicated involvement in biological processes such as hormone stimulus response, protein phosphorylation, and enzyme activity regulation; cellular components including intracellular secretory granules and the cell membrane; and molecular functions such as kinase activity, nuclear receptor binding, and ligand-activated transcription regulation. Kyoto encyclopedia of genes and genomes analysis showed significant enrichment in cancer-related pathways and key signaling networks, suggesting roles in tumor progression and cell proliferation/survival. This study suggests that maslinic acid and oleanolic acid from ACP root may treat breast cancer by targeting GSK3β and EGFR, affecting MAPK, PI3K-Akt, and ROS pathways. Further validation in in vivo and in vitro models is needed.

摘要

本研究运用网络药理学和分子对接技术,探究中华猕猴桃根(ACP)对乳腺癌(BC)发挥治疗作用的机制。利用中药系统药理学数据库筛选ACP根中的活性成分(口服生物利用度≥30%,类药性≥0.18%),并通过PharmMapper数据库预测潜在靶点(标准化拟合分数≥0.6)。从GeneCards、DisGeNet、OMIM、DrugBank和TTD数据库中检索BC相关靶点。使用Venny 2.1识别共同靶点,并导入STRING 11.0构建置信度分数≥0.4的蛋白质-蛋白质相互作用网络。使用Cytoscape 3.9.1进行可视化和拓扑分析。基于度、介数中心性和紧密中心性确定核心化合物,同时使用最大团中心性方法确定核心靶点。通过Metascape平台进行基因本体论和京都基因与基因组百科全书富集分析。使用AutoDock Tools 1.5.7和AutoDock Vina 1.1.2进行分子对接验证,并使用PyMOL可视化对接结果。从ACP根中总共鉴定出14种活性化合物和184个潜在靶点,以及9418个潜在的BC相关靶点。其中,鉴定出158个重叠靶点。最终选择了10个关键靶点和8种关键化合物。分子对接结果显示,关键化合物与靶点之间的结合能范围为-5.8至-9.9千卡/摩尔,其中山楂酸与GSK3-B之间的相互作用最强(-

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